European Union Shifts AI Focus Toward Industrial Use
The Commission's new strategy prioritizes AI adoption in enterprise workflows over developing foundational models.
Updated on Oct. 25, 2026 in Artificial Intelligence
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The European Commission is prioritizing artificial intelligence application over foundational model development through its new Apply AI Strategy. This strategic pivot focuses on accelerating industrial adoption, which reached 20% across the European Union in 2025, up from 13.5% in 2024.
Why it matters
By shifting resources toward the integration of existing AI, policymakers aim to bolster regional competitiveness and technological independence. This move deliberately de-prioritizes the race to build foundation models in favor of maximizing economic utility in strategic industries.
AI adoption across EU businesses grew to 20% in 2025 from 13.5% in 2024. Adoption rates vary significantly by firm size and geography, with 55% of large enterprises utilizing the technology compared to 19% of smaller firms.
The players
European Commission
The executive branch of the European Union responsible for policy implementation, including the new Apply AI Strategy.
The details
The European Commission's Apply AI Strategy directs institutional support toward embedding machine learning systems into core industrial workflows. This approach emphasizes practical deployment rather than the development of large-scale, general-purpose models, which require massive data center infrastructure and compute resources. The strategy aims to bridge the disparity between high-performing regions like Denmark, which reached a 42% adoption rate, and lower-adoption areas like Romania at 5.2%.
Timeline
2024: The artificial intelligence adoption rate across European Union businesses was 13.5 percent.
2025: The artificial intelligence adoption rate across European Union businesses rose to 20 percent.
The Tech Race
The European Commission's decision to focus on deployment marks a strategic exit from the race to develop proprietary foundation models. This places Europe on a different trajectory than the United States and China, which continue to prioritize the scaling of foundational LLM architectures.
Businesses within the European Union should expect increased regulatory and financial support for integrating pre-existing AI tools into their workflows. The strategy prioritizes the industrial sector, meaning manufacturing and enterprise firms will likely see the fastest implementation cycles.
The takeaway
Europe is betting that the economic value of AI lies in its application to existing industries rather than the development of new underlying models. Stakeholders should track the annual European Commission progress reports to see if this strategy narrows the adoption gap between leaders like Denmark and laggards.
Further reading
For more on the regional adoption of machine learning tools, see our latest research in Artificial Intelligence.
Source note: This article includes information reported by The Portugal News.
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Should your nation prioritize adopting existing artificial intelligence tools over developing new foundational models?
